Senior Scientist – Digital Discovery: AI-assisted Antibody Discovery & Data

Amgen • Burnaby, BC

1d

About The Position

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Senior Scientist – Digital Discovery: AI-assisted Antibody Discovery & Data What you will do Let’s do this. Let’s change the world. In this vital role you will join the BioFoundry team within ImmunoEngineering. This role sits at the intersection of computational design, in vivo antibody discovery, and data generation, enabling a closed-loop design–make–test–learn ecosystem for next-generation therapeutics.

Requirements

• PhD in Biology, Immunology, Immunoengineering, Biochemistry, Bioengineering or related field OR Master’s degree + 3+ years of relevant experience OR Bachelor’s degree + 5+ years of relevant experience

Nice To Haves

• Experience in antibody discovery and engineering, including display technologies and/or in vivo platforms
• Hands-on experience with protein expression, screening, and characterization workflows
• Familiarity with high-throughput or automated experimental systems
• Exposure to computationally guided or AI-enabled discovery approaches
• Experience working with structured biological data, databases, or LIMS systems
• Demonstrated ability to work cross-functionally with computational, data science, or engineering teams
• Strong scientific communication and problem-solving skills

Responsibilities

• Translate AI/ML-generated antibody designs (including zero-shot approaches) into experimentally testable strategies
• Design and execute workflows to express, screen, and characterize AI-derived antibodies
• Partner closely with computational and ML teams to refine hypotheses and improve design quality
• Contribute to traditional antibody discovery workflows, including in vivo / immunization-based platforms
• Apply comparative approaches to evaluate AI-designed vs. conventionally derived antibodies
• Help define best practices for integrating next-generation and established discovery paradigms
• Develop and implement pipelines for systematic data capture, curation, and sharing
• Generate high-quality sequence–function datasets to support model training and benchmarking
• Ensure experimental outputs are structured, standardized, and ML-ready
• Work with automation and platform teams to enable scalable, high-throughput validation workflows
• Contribute to the development of a BioFoundry-enabled discovery engine
• Help define experimental designs that maximize throughput, reproducibility, and data value

Benefits

• Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree